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學生對 国立高等经济大学 提供的 Bayesian Methods for Machine Learning 的評價和反饋

4.5
573 個評分
163 條評論

課程概述

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money. In six weeks we will discuss the basics of Bayesian methods: from how to define a probabilistic model to how to make predictions from it. We will see how one can automate this workflow and how to speed it up using some advanced techniques. We will also see applications of Bayesian methods to deep learning and how to generate new images with it. We will see how new drugs that cure severe diseases be found with Bayesian methods. Do you have technical problems? Write to us: coursera@hse.ru...

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JG

Nov 18, 2017

This course is little difficult. But I could find very helpful.\n\nAlso, I didn't find better course on Bayesian anywhere on the net. So I will recommend this if anyone wants to die into bayesian.

LB

Jun 07, 2019

Excellent course! The perfect balance of clear and relevant material and challenging but reasonable exercises. My only critique would be that one of the lecturers sounds very sleepy.

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76 - Bayesian Methods for Machine Learning 的 100 個評論(共 157 個)

創建者 Ibrahim A

May 11, 2020

Highly involved course with lots of practical learning. First time, I struggled to finish a course. Great learning.

創建者 Roshan C

Dec 04, 2019

The best course to learn about maths behind the optimization and also helped to clarify the mathematics lies behind

創建者 John A D

Mar 13, 2018

Excellent course ! Pointed to concepts and techniques that would be hard to access without this expert guidance.

創建者 Иван М

May 14, 2020

amazing course, helps to inderstand many aspects of probability methods and bayesian inference!

創建者 Tirth P

Jun 11, 2019

Mathematically Heavy and highly theoretical course. This makes this course unique and awesome

創建者 Husain B

Dec 09, 2019

Amazing course, take you from brief to advance level concepts of bayesian stats and methods.

創建者 Kiran K R

Dec 31, 2019

This is the best introductory course that is available for Bayesian deep learning.

創建者 Mike L

May 15, 2020

Solid math and statistic study materials and useful programming assignment.

創建者 Igor P

Oct 09, 2019

Excellent course. Definitely touches advanced topics with the due rigor.

創建者 Yon-Seo K

Feb 22, 2020

The VAE part was really good. I will continue working on it on my own.

創建者 yan l

Mar 06, 2018

The lecture in real detail explain what is going on behind the model!

創建者 Dr.M. E

Jul 18, 2020

difficult concept of machine learning is explained with examples

創建者 Akhil K

Oct 04, 2019

Very comprehensive & touched upon some very interesting problems!

創建者 刘晶

Apr 18, 2020

One of the best course I've learned on coursera. Thank you!

創建者 Debasis S

Aug 23, 2019

I found it tuff to get everything, but a very good course

創建者 Murat Ö

Jul 23, 2019

A great course to learn probabilistic machine learning!

創建者 Parag H S

Aug 14, 2019

Bayesian Methods for machine learning course was great

創建者 Nimish S

Dec 31, 2017

The first and best indepth course on Bayesian methods.

創建者 Ануфриев С С

Apr 07, 2019

So far the most interesting course in specialisation

創建者 RLee

Feb 15, 2019

The only solid online course on Bayesian ML methods!

創建者 Trinadh

Jun 29, 2018

great enlightener into bayesian view of deeplearning

創建者 Sanjay K

Jan 26, 2018

Fantastic lecturer.. very crisp and informative

創建者 Gary

May 03, 2019

Covered many important points in the course.

創建者 Shingo M

Jul 07, 2018

this course is very hard for me.but helpful

創建者 ilya.a.kazakov

May 12, 2018

Great work the creators of the course did!